教育背景

2013.09-2017.06 中国石油大学（北京） 石油工程 本科

2017.09-2020.06 中国石油大学（北京） 油气井工程 硕士研究生

2020.10-2024.07 英国诺丁汉大学 计算机科学 博士研究生

工作履历

2024.09至今  中国石油大学（北京）人工智能学院 特任岗位副教授

研究领域

可解释人工智能（XAI）、物理信息神经网络、生成式模型、岩石力学、智能石油工程

代表论文

期刊论文：

[1] Meng, H.*, Wagner, C., & Triguero, I. (2023). Explaining time series classifiers through meaningful perturbation and optimisation. Information Sciences, 645, 119334. (IF: 8.1; JCR: Q1)

[2] Meng, H., Lin, B., Zhang, R., & Jin, Y*. (2024). A Missing Well-Logs Imputation Method Based on Conditional Denoising Diffusion Probabilistic Models. SPE Journal, 1-16. (IF: 3.7; JCR: Q1)

[3] Meng, H.*, Wagner, C., & Triguero, I. SEGAL Time Series Classification - Stable Explanations using a Generative Model and an Adaptive Weighting Method for LIME. Network Networks, 106345. (IF: 7.8; JCR: Q1)

会议论文：

[1] Meng, H., Wagner, C., & Triguero, I. (2022, October). Feature importance identification for time series classifiers. In 2022 IEEE international conference on systems, man, and cybernetics (SMC) (pp. 3293-3298). (CCF-C).

[2] Meng, H., Wagner, C., & Triguero, I. (2023, August). An Initial Step Towards Stable Explanations for Multivariate Time Series Classifiers with LIME. In 2023 IEEE International Conference on Fuzzy Systems (FUZZ) (pp. 1-6).

[3] Meng, H., Zhang, R., Lin, B., & Jin, Y. (2024 April). Effective Production Forecasting and Robust Rate Optimization Using Physics Informed Neural Networks. In SPE Western Regional Meeting (p. D011S004R003). SPE.

*为通讯作者

学术兼职

IEEE Transactions on Artificial Intelligence, Neurocomputing等期刊审稿人